Screening
We provide end-to-end screening operations for firms under pressure from rising alert volumes, false positives, growing backlogs, high operating cost and increasing regulatory expectations. Our service is built for organisations that need screening decisions to be fast, consistent and defensible, without compromising control.
This service is suited to banks, fintechs, crypto and other regulated firms that want to improve throughput and quality in screening while keeping accountability with experienced people.
We cover the full range of screening activities, including:
Daily BAU alert
clearance
Payment
screening
Name and entity screening
List-change
sweeps
Reviews, remediation and lookbacks (including structured work programmes where required)
How we reduce false positives and improve defensibility
Location mismatch detection
We detect location/address inconsistencies that often drive avoidable false positives. Where helpful, we can integrate with geocoding and address validation services to verify location signals and improve decision defensibility.
FTR data quality and compliance indicators
For payment flows, we identify missing or corrupt fields that may indicate potential Funds Transfer Regulation (FTR) data issues, helping teams spot and address potential compliance breaches early.
Open-source and client data enrichment
We enrich cases using appropriate open-source signals and client-approved internal data to strengthen discounting rationale, support consistent outcomes, and build clearer evidence for audit and supervisors.
Agentic AI in screening
Our screening service is powered by agentic AI that is custom-built to your requirements by financial crime SMEs. These agentic AI can:
● Pull relevant signals from multiple sources
● Normalise and de-duplicate data across systems
● Enrich context and assemble the evidence needed for a decision
● Propose a recommended outcome before a human review
In one case study, this approach has demonstrated the potential to reduce manual review volumes materially (up to ~90%), while maintaining control and auditability.
How We Deploy Safely
We implement automation in a controlled way using a proven screening pattern:
Real-time QC against human decisions:
Agents provide 100% real-time quality checks against analyst outcomes, highlighting inconsistency and improving decision quality immediately.
Automation, once performance is proven
Where the data and risk appetite allow, and only after performance is evidenced, our agentic AI can automate decisions with clear audit logs for every step.
Humans in control: SME-led delivery and accountable decisions
Automation improves throughput, but screening remains a regulated, accountable decision process. That’s why we keep humans in control:
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Financial crime SMEs design the rules and agents, supervise outputs and handle edge cases
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Final accountability for risk decisions and any downstream escalation remains wit experienced SMEs
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Leadership is directly involved in service design and ongoing oversight, ensuring the operation stays aligned to policy and regulatory expectations
Verified teams trained to be productive from day one
We invest in screening SMEs because the operation is only as strong as the decisions it produces:
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Verified analysts, with structured assessment methods and consistent competency standards
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A case simulator and learning environment built from real-world screening scenarios, so analysts can be trained and tested quickly and safely
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Ongoing calibration sessions and feedback loops to keep decisions aligned to your risk appetite and continuously tune rules, agents and team performance
Monitoring, reporting and operational control
We run screening as a measured operation, not a black box.
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Capacity planning and demand forecasting using analytics to predict volumes, set the right resourcing levels, and step up quickly when volumes exceed forecast
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Near-real-time MI and dashboards covering volumes, SLA performance, error rates and emerging trends so issues are spotted early and corrected before they become problems
Global delivery with 24/7 coverage and flexible capacity
We operate globally distributed delivery hubs, including Sri Lanka and the Philippines, with flexible shift patterns and 24/7 coverage. This allows screening load to be moved between locations in real time and enables a stable BAU service with capacity flexed up or down as volumes and regulatory expectations change.
Ongoing BAU alert management is delivered by stable teams handling daily flows, with the ability to adjust capacity as required.
Backlogs, reviews and remediation are supported through rapid mobilisation to clear large backlogs, manage regulatory reviews, and remediate screening processes — with strong QA and project governance.
Integration “in flight”: improve outcomes without disrupting live operations
Our teams and tooling slot into your existing systems and workflows without disrupting live operations. We integrate with your current screening environment and operate “in flight”, so you can improve throughput and quality while maintaining business continuity
Quality guarantees and incentives that align to outcomes
We agree quality targets upfront and stay accountable to them:
Target error rates and quality measures aligned to your control framework
Outcome-aligned incentives that keep focus on the right results
Where work falls below agreed quality thresholds, we put it right, including no-charge rework mechanisms where appropriate, so quality remains non-negotiable
We deliver screening across all our sectors, Here are a few example outcomes that we have seen:
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Backlog clearance: rapid mobilisation to restore SLAs and reduce operational risk
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False positive reduction: improved discounting quality using enrichment and location mismatch controls
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Operational stability: 24/7 coverage with forecasting-led resourcing to handle volume spikes
Governance, explainability and regulatory comfort
Every decision needs to be defensible. We provide:
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Clear audit trails for both human decisions and AI-supported recommendations
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Explainable reasoning that supports QA, audit and supervisory review
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Controls aligned to data protection expectations and model governance requirements
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Bias and drift monitoring (including segment checks, distribution monitoring and remediation triggers) to maintain stable, fair performance over time
How we start: a simple, low-risk journey
Working with us typically follows a clear path:
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Discovery and current-state assessment (volumes, pain points, controls, data availability)
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Scoping and service design (workflows, QA, governance, success measures)
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Parallel run / pilot alongside humans to validate quality and evidence
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Calibration (thresholds, rules, agent performance, training)
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Scale-up across teams, processes and locations
